Chia-Ling Tsai

499 total citations
23 papers, 313 citations indexed

About

Chia-Ling Tsai is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Chia-Ling Tsai has authored 23 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Ophthalmology. Recurrent topics in Chia-Ling Tsai's work include Retinal Imaging and Analysis (10 papers), Retinal Diseases and Treatments (8 papers) and Medical Image Segmentation Techniques (5 papers). Chia-Ling Tsai is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Retinal Diseases and Treatments (8 papers) and Medical Image Segmentation Techniques (5 papers). Chia-Ling Tsai collaborates with scholars based in Taiwan, United States and Australia. Chia-Ling Tsai's co-authors include Badrinath Roysam, Yu Wang, Arunachalam Narayanaswamy, Wei-Yang Lin, Shih‐Jen Chen, Wei‐Jan Wang, Hsiao‐Fan Chen, Shao‐Chun Wang, Mien‐Chie Hung and Yichun Shen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Investigative Ophthalmology & Visual Science.

In The Last Decade

Chia-Ling Tsai

22 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chia-Ling Tsai Taiwan 7 135 74 67 66 48 23 313
G. Gopakumar India 9 57 0.4× 51 0.7× 157 2.3× 46 0.7× 32 0.7× 32 290
Marie-Louise O’Connell Ireland 7 46 0.3× 30 0.4× 29 0.4× 10 0.2× 45 0.9× 9 331
Pingli Ma China 7 74 0.5× 44 0.6× 68 1.0× 69 1.0× 34 0.7× 9 250
Salam Shuleenda Devi India 10 23 0.2× 35 0.5× 187 2.8× 75 1.1× 13 0.3× 21 247
Madhumala Ghosh India 10 118 0.9× 61 0.8× 347 5.2× 128 1.9× 35 0.7× 14 411
B. Rajesh Kanna India 6 39 0.3× 51 0.7× 198 3.0× 50 0.8× 17 0.4× 20 240
Xuan Xu United States 10 25 0.2× 46 0.6× 106 1.6× 27 0.4× 11 0.2× 31 230
Lingyun Li China 8 10 0.1× 53 0.7× 134 2.0× 24 0.4× 21 0.4× 31 330
Yu Guan China 11 5 0.0× 238 3.2× 106 1.6× 9 0.1× 121 2.5× 49 524
Yufan Luo China 10 19 0.1× 31 0.4× 36 0.5× 23 0.3× 83 1.7× 23 294

Countries citing papers authored by Chia-Ling Tsai

Since Specialization
Citations

This map shows the geographic impact of Chia-Ling Tsai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chia-Ling Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Ling Tsai more than expected).

Fields of papers citing papers by Chia-Ling Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Ling Tsai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chia-Ling Tsai. The network helps show where Chia-Ling Tsai may publish in the future.

Co-authorship network of co-authors of Chia-Ling Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Ling Tsai. A scholar is included among the top collaborators of Chia-Ling Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia-Ling Tsai. Chia-Ling Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Su, Yingying, et al.. (2024). Magnetic resonance imaging-based deep learning imaging biomarker for predicting functional outcomes after acute ischemic stroke. European Journal of Radiology. 174. 111405–111405. 3 indexed citations
2.
Lin, Wei-Yang, et al.. (2022). Diagnosis of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning. Translational Vision Science & Technology. 11(2). 6–6. 4 indexed citations
3.
Wang, Shao‐Chun, Yeh Chen, Yuchuan Wang, et al.. (2020). Tannic acid suppresses SARS-CoV-2 as a dual inhibitor of the viral main protease and the cellular TMPRSS2 protease. American Journal of Cancer Research. 10(12). 4538–4546. 66 indexed citations
4.
Huang, Ya-Yao, Ming‐Jang Chiu, Ruoh‐Fang Yen, et al.. (2019). An one-pot two-step automated synthesis of [18F]T807 injection, its biodistribution in mice and monkeys, and a preliminary study in humans. PLoS ONE. 14(7). e0217384–e0217384. 5 indexed citations
5.
Huang, Ya-Yao, et al.. (2019). Three-step two-pot automated production of NCA [18F]FDOPA with FlexLab module. Applied Radiation and Isotopes. 158. 108871–108871. 5 indexed citations
6.
Huang, Ya-Yao, et al.. (2017). High yield one-pot production of [ 18 F]FCH via a modified TRACERlab Fx FN module. Applied Radiation and Isotopes. 128. 190–198. 1 indexed citations
7.
Lin, Wei-Yang, et al.. (2017). Temporally Coherent Illumination Normalization for Indocyanine Green Video Angiography. IEEE Journal of Biomedical and Health Informatics. 22(2). 570–578.
8.
Li, Zongyu, et al.. (2016). Touch and #Tag. 38–43. 1 indexed citations
9.
Lin, Wei-Yang, et al.. (2016). Automatic Brain Extraction for T1-Weighted Magnetic Resonance Images Using Region Growing. 250–253. 1 indexed citations
10.
Tsai, Chia-Ling, et al.. (2016). Accurate Joint-Alignment of Indocyanine Green and Fluorescein Angiograph Sequences for Treatment of Subretinal Lesions. IEEE Journal of Biomedical and Health Informatics. 21(3). 785–793. 2 indexed citations
11.
Huang, Zih-Rou, Chia-Ling Tsai, Ya-Yao Huang, et al.. (2016). A Novel Potential Positron Emission Tomography Imaging Agent for Vesicular Monoamine Transporter Type 2. PLoS ONE. 11(9). e0161295–e0161295. 3 indexed citations
12.
Lin, Wei-Yang, et al.. (2015). Automatic Segmentation of Polypoidal Choroidal Vasculopathy from Indocyanine Green Angiography Using Spatial and Temporal Patterns. Translational Vision Science & Technology. 4(2). 7–7. 6 indexed citations
13.
Tsai, Chia-Ling, et al.. (2012). Retinal Vascular Tree Reconstruction With Anatomical Realism. IEEE Transactions on Biomedical Engineering. 59(12). 3337–3347. 14 indexed citations
14.
Wang, Yu, Arunachalam Narayanaswamy, Chia-Ling Tsai, & Badrinath Roysam. (2011). A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake. Neuroinformatics. 9(2-3). 193–217. 149 indexed citations
15.
Tsai, Chia-Ling, James P. Lister, Chris S. Bjornsson, et al.. (2011). Robust, globally consistent and fully automatic multi-image registration and montage synthesis for 3-D multi-channel images. Journal of Microscopy. 243(2). 154–171. 13 indexed citations
16.
Tsai, Chia-Ling, et al.. (2011). Automatic Characterization of Classic Choroidal Neovascularization by Using AdaBoost for Supervised Learning. Investigative Ophthalmology & Visual Science. 52(5). 2767–2767. 15 indexed citations
17.
18.
Tsai, Chia-Ling, et al.. (2010). RETINAL VASCULAR TREE CONSTRUCTION WITH MULTIMODAL FLUORESCEIN ANGIOGRAM SEQUENCE. Biomedical Engineering Applications Basis and Communications. 22(2). 101–110. 3 indexed citations
19.
Chang, Yu‐Chi, et al.. (2009). Arsenic Trioxide Modulates the Central Snail Neuron Action Potential. Journal of the Formosan Medical Association. 108(9). 683–693. 1 indexed citations
20.
Stewart, Charles V., Chia-Ling Tsai, & A. G. Amitha Perera. (2003). A View-Based Approach to Registration: Theory and Application to Vascular Image Registration. Lecture notes in computer science. 18. 475–486. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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